D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Mechanical and Aerospace Engineering D-index 47 Citations 6,932 177 World Ranking 417 National Ranking 5

Overview

What is he best known for?

The fields of study he is best known for:

  • Mechanics
  • Optics
  • Statistics

Particle image velocimetry, Optics, Mechanics, Algorithm and Classical mechanics are his primary areas of study. His Particle image velocimetry research is multidisciplinary, relying on both Flow, Fluid mechanics, Pressure gradient, Reynolds number and Vector field. His research integrates issues of Field, Simulation and Data science in his study of Fluid mechanics.

His study looks at the relationship between Optics and topics such as Wind tunnel, which overlap with Particle velocity, Temporal resolution and Particle tracking velocimetry. When carried out as part of a general Algorithm research project, his work on Iterative method and Residual is frequently linked to work in Offset and Rate of convergence, therefore connecting diverse disciplines of study. His Classical mechanics study also includes

  • Boundary layer which connect with Mach number,
  • Vortex together with Vortex shedding and Geometry.

His most cited work include:

  • particle-image-velocimetry (2026 citations)
  • Tomographic particle image velocimetry (822 citations)
  • Universal outlier detection for PIV data (762 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Mechanics, Particle image velocimetry, Optics, Boundary layer and Vortex. His work in Mechanics addresses issues such as Classical mechanics, which are connected to fields such as Vector field. Fulvio Scarano focuses mostly in the field of Particle image velocimetry, narrowing it down to matters related to Airfoil and, in some cases, Angle of attack and Leading edge.

His Optics study incorporates themes from Algorithm and Wind tunnel. His research in Boundary layer intersects with topics in Trailing edge, Shock wave and Laminar flow. His Vortex research includes elements of Incompressible flow, Geometry, Aeroacoustic analogy and Vortex shedding.

He most often published in these fields:

  • Mechanics (51.33%)
  • Particle image velocimetry (45.00%)
  • Optics (27.67%)

What were the highlights of his more recent work (between 2017-2021)?

  • Mechanics (51.33%)
  • Particle image velocimetry (45.00%)
  • Wake (18.33%)

In recent papers he was focusing on the following fields of study:

His main research concerns Mechanics, Particle image velocimetry, Wake, Wind tunnel and Vortex. Reynolds number, Turbulence, Drag, Boundary layer and Aerodynamics are the subjects of his Mechanics studies. His work carried out in the field of Boundary layer brings together such families of science as Vorticity equation and Vorticity.

His Particle image velocimetry study combines topics in areas such as Soap bubble and Bubble. His biological study spans a wide range of topics, including Acoustics, Vertical axis wind turbine, Load cell, Flow and Velocimetry. His work focuses on many connections between Vortex and other disciplines, such as Instability, that overlap with his field of interest in Mean flow, Classical mechanics and Incompressible flow.

Between 2017 and 2021, his most popular works were:

  • Robotic volumetric PIV of a full-scale cyclist (30 citations)
  • Coaxial volumetric velocimetry (18 citations)
  • Generation and control of helium-filled soap bubbles for PIV (15 citations)

In his most recent research, the most cited papers focused on:

  • Mechanics
  • Statistics
  • Fluid dynamics

Fulvio Scarano focuses on Mechanics, Particle image velocimetry, Reynolds number, Wake and Drag. His research related to Bubble and Soap bubble might be considered part of Mechanics. His Reynolds number research is within the category of Turbulence.

Fulvio Scarano focuses mostly in the field of Drag, narrowing it down to topics relating to Wind tunnel and, in certain cases, Aerodynamic drag. The study incorporates disciplines such as Instability and Boundary layer in addition to Vortex. His Vorticity research includes themes of Streamlines, streaklines, and pathlines, Aperture, Optics, Lagrangian particle tracking and Potential flow.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

particle-image-velocimetry

Markus Raffel;Christian E. Willert;Fulvio Scarano;Christian J. Kähler.
(2010)

3231 Citations

Tomographic particle image velocimetry

G. E. Elsinga;F. Scarano;B. Wieneke;B. W. van Oudheusden.
Experiments in Fluids (2006)

1316 Citations

Universal outlier detection for PIV data

Jerry Westerweel;Fulvio Scarano.
Experiments in Fluids (2005)

1124 Citations

Iterative image deformation methods in PIV

F Scarano.
Measurement Science and Technology (2002)

853 Citations

Advances in iterative multigrid PIV image processing

F. Scarano;M. L. Riethmuller.
Experiments in Fluids (2000)

731 Citations

Iterative multigrid approach in PIV image processing with discrete window offset

F. Scarano;M. L. Riethmuller.
Experiments in Fluids (1999)

712 Citations

Tomographic PIV: principles and practice

F Scarano.
Measurement Science and Technology (2013)

555 Citations

Phase-resolved characterization of vortex shedding in the near wake of a square-section cylinder at incidence

B. W. van Oudheusden;F. Scarano;N. P. van Hinsberg;D. W. Watt.
Experiments in Fluids (2005)

308 Citations

Visualization by PIV of dynamic stall on a vertical axis wind turbine

Carlos Simão Ferreira;Gijs van Kuik;Gerard van Bussel;Fulvio Scarano.
Experiments in Fluids (2009)

291 Citations

Main results of the third international PIV Challenge

M. Stanislas;K. Okamoto;C. J. Kähler;J. Westerweel.
Experiments in Fluids (2008)

277 Citations

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